[CMI] AI engineer
The AI Engineer will design, build, and deploy LLM‑powered applications and generative AI solutions for client projects, handling everything from rapid prototyping to production‑grade deployment. Collaboration with clients will require strong technical expertise combined with business understanding to deliver impactful AI‑driven products.
Skills required
About this role
Project – the aim you’ll have
We are looking for a talented AI Engineer to join our team and work on innovative projects for our clients. Our mission is to help organizations unlock the full potential of artificial intelligence and Generative AI, delivering real business value through modern AI-driven solutions.
You will work on diverse projects, ranging from rapid prototyping to production-grade deployments, with a strong focus on LLM-based applications, intelligent automation, and AI-powered products. As a consulting-driven team, we collaborate closely with clients, combining technical expertise with business understanding to deliver impactful solutions.
If you are passionate about cutting-edge AI technologies and want to build real-world AI systems at scale, join us!
Position – how you’ll contribute
- Designing, building, and deploying AI and Generative AI solutions (e.g., LLM-powered applications, chatbots, intelligent systems)
- Developing and optimizing prompt engineering strategies, including evaluation and iteration
- Building RAG pipelines using vector databases
- Integrating LLMs and AI models into cloud-based applications and APIs
- Implementing agent-based workflows and AI automation solutions
- Continuously researching, evaluating, and applying new AI tools, models, and frameworks
Qualifications
Expectations – the experience you need
- Strong experience with Python for AI application development
- Hands-on experience with LLMs and Generative AI (e.g., OpenAI, open-source models)
- Practical experience with prompt engineering in production use cases
- Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks
- Experience designing and implementing RAG architectures and working with vector databases (e.g., Qdrant, Pinecone, Weaviate)
- Experience building and deploying AI-powered applications in cloud environments (AWS, Azure, or GCP)
- Understanding of AI safety, guardrails, and responsible AI practices
- Ability to speak and write in English
Additional Information
What we offer:
- Flexible and remote cooperation options
- International projects with leading global clients
- Travels related to international projects
- Non-corporate atmosphere
- Access* to language classes
- Access* to knowledge-sharing initiatives
- Access* to private healthcare and life insurance
- Access* to multisport card
*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.
